flexitok/bpe_fas_Arab_16000

Byte-Level BPE Tokenizer: fas_Arab (16K)

A Byte-Level BPE tokenizer trained on fas_Arab data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	fas_Arab
Target Vocab Size	16,000
Final Vocab Size	16,000
Pre-tokenizer	gpt4
Number handling	individual
Contraction handling	True
Normalizer	NFC
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	2

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/-bpe_fas_Arab_16000")
tokens = tokenizer.encode("Hello, world!")

Files

• tokenizer.json — Full HuggingFace tokenizer
• vocab.json — Vocabulary mapping
• merges.txt — BPE merge rules

Sample Encoding

Text	Tokens	Token IDs
Hello, world! 12345 This is a test. こんにちは	H, ell, o, ,, Ġw, orld, !, Ġ, 12, 3, 45, ĠTh, is, Ġis, Ġa, Ġt, est, ., Ġ, ã	43, 6214, 82, 15, 2675, 12825, 4, 175, 2165, 22, 5459, 9021, 1775, 6249, 3324, 1442, 4716, 17, 175, 161